test_amenllama / trainer_state.json
Karimsliti's picture
Upload trainer_state.json
24db02e verified
raw
history blame
11.6 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.0202020202020203,
"eval_steps": 20,
"global_step": 400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.050505050505050504,
"grad_norm": 0.1097809225320816,
"learning_rate": 2.9999999999999997e-05,
"loss": 1.2164,
"step": 10
},
{
"epoch": 0.10101010101010101,
"grad_norm": 0.16844922304153442,
"learning_rate": 5.9999999999999995e-05,
"loss": 1.1774,
"step": 20
},
{
"epoch": 0.10101010101010101,
"eval_loss": 1.1594151258468628,
"eval_runtime": 295.5081,
"eval_samples_per_second": 2.382,
"eval_steps_per_second": 0.298,
"step": 20
},
{
"epoch": 0.15151515151515152,
"grad_norm": 0.3893352150917053,
"learning_rate": 8.999999999999999e-05,
"loss": 0.9942,
"step": 30
},
{
"epoch": 0.20202020202020202,
"grad_norm": 0.4363686740398407,
"learning_rate": 0.00011999999999999999,
"loss": 0.7259,
"step": 40
},
{
"epoch": 0.20202020202020202,
"eval_loss": 0.6028452515602112,
"eval_runtime": 294.8084,
"eval_samples_per_second": 2.388,
"eval_steps_per_second": 0.298,
"step": 40
},
{
"epoch": 0.25252525252525254,
"grad_norm": 0.40602898597717285,
"learning_rate": 0.00015,
"loss": 0.4454,
"step": 50
},
{
"epoch": 0.30303030303030304,
"grad_norm": 0.2177702635526657,
"learning_rate": 0.00017999999999999998,
"loss": 0.5139,
"step": 60
},
{
"epoch": 0.30303030303030304,
"eval_loss": 0.3834875822067261,
"eval_runtime": 295.1108,
"eval_samples_per_second": 2.386,
"eval_steps_per_second": 0.298,
"step": 60
},
{
"epoch": 0.35353535353535354,
"grad_norm": 0.1777501404285431,
"learning_rate": 0.00020999999999999998,
"loss": 0.4096,
"step": 70
},
{
"epoch": 0.40404040404040403,
"grad_norm": 0.1749625951051712,
"learning_rate": 0.00023999999999999998,
"loss": 0.2589,
"step": 80
},
{
"epoch": 0.40404040404040403,
"eval_loss": 0.28596043586730957,
"eval_runtime": 294.9045,
"eval_samples_per_second": 2.387,
"eval_steps_per_second": 0.298,
"step": 80
},
{
"epoch": 0.45454545454545453,
"grad_norm": 0.2074197232723236,
"learning_rate": 0.00027,
"loss": 0.1932,
"step": 90
},
{
"epoch": 0.5050505050505051,
"grad_norm": 0.36931025981903076,
"learning_rate": 0.0003,
"loss": 0.2177,
"step": 100
},
{
"epoch": 0.5050505050505051,
"eval_loss": 0.25518086552619934,
"eval_runtime": 295.271,
"eval_samples_per_second": 2.384,
"eval_steps_per_second": 0.298,
"step": 100
},
{
"epoch": 0.5555555555555556,
"grad_norm": 0.20555801689624786,
"learning_rate": 0.00029,
"loss": 0.299,
"step": 110
},
{
"epoch": 0.6060606060606061,
"grad_norm": 0.14223843812942505,
"learning_rate": 0.00028,
"loss": 0.2508,
"step": 120
},
{
"epoch": 0.6060606060606061,
"eval_loss": 0.2106790542602539,
"eval_runtime": 294.889,
"eval_samples_per_second": 2.387,
"eval_steps_per_second": 0.298,
"step": 120
},
{
"epoch": 0.6565656565656566,
"grad_norm": 0.14103205502033234,
"learning_rate": 0.00027,
"loss": 0.1666,
"step": 130
},
{
"epoch": 0.7070707070707071,
"grad_norm": 0.1655016392469406,
"learning_rate": 0.00026,
"loss": 0.1511,
"step": 140
},
{
"epoch": 0.7070707070707071,
"eval_loss": 0.20343247056007385,
"eval_runtime": 294.7497,
"eval_samples_per_second": 2.388,
"eval_steps_per_second": 0.299,
"step": 140
},
{
"epoch": 0.7575757575757576,
"grad_norm": 0.33550018072128296,
"learning_rate": 0.00025,
"loss": 0.1798,
"step": 150
},
{
"epoch": 0.8080808080808081,
"grad_norm": 0.18753309547901154,
"learning_rate": 0.00023999999999999998,
"loss": 0.245,
"step": 160
},
{
"epoch": 0.8080808080808081,
"eval_loss": 0.19205082952976227,
"eval_runtime": 294.8122,
"eval_samples_per_second": 2.388,
"eval_steps_per_second": 0.298,
"step": 160
},
{
"epoch": 0.8585858585858586,
"grad_norm": 0.18931691348552704,
"learning_rate": 0.00023,
"loss": 0.2125,
"step": 170
},
{
"epoch": 0.9090909090909091,
"grad_norm": 0.1642046868801117,
"learning_rate": 0.00021999999999999995,
"loss": 0.1479,
"step": 180
},
{
"epoch": 0.9090909090909091,
"eval_loss": 0.1822979599237442,
"eval_runtime": 295.0975,
"eval_samples_per_second": 2.386,
"eval_steps_per_second": 0.298,
"step": 180
},
{
"epoch": 0.9595959595959596,
"grad_norm": 0.14441154897212982,
"learning_rate": 0.00020999999999999998,
"loss": 0.1399,
"step": 190
},
{
"epoch": 1.0101010101010102,
"grad_norm": 0.20781415700912476,
"learning_rate": 0.00019999999999999998,
"loss": 0.17,
"step": 200
},
{
"epoch": 1.0101010101010102,
"eval_loss": 0.18901540338993073,
"eval_runtime": 294.9368,
"eval_samples_per_second": 2.387,
"eval_steps_per_second": 0.298,
"step": 200
},
{
"epoch": 1.0606060606060606,
"grad_norm": 0.18098795413970947,
"learning_rate": 0.00018999999999999998,
"loss": 0.2102,
"step": 210
},
{
"epoch": 1.1111111111111112,
"grad_norm": 0.12826304137706757,
"learning_rate": 0.00017999999999999998,
"loss": 0.2085,
"step": 220
},
{
"epoch": 1.1111111111111112,
"eval_loss": 0.17017190158367157,
"eval_runtime": 295.0936,
"eval_samples_per_second": 2.386,
"eval_steps_per_second": 0.298,
"step": 220
},
{
"epoch": 1.1616161616161615,
"grad_norm": 0.13167431950569153,
"learning_rate": 0.00016999999999999999,
"loss": 0.1399,
"step": 230
},
{
"epoch": 1.2121212121212122,
"grad_norm": 0.13884004950523376,
"learning_rate": 0.00015999999999999999,
"loss": 0.1311,
"step": 240
},
{
"epoch": 1.2121212121212122,
"eval_loss": 0.16837279498577118,
"eval_runtime": 294.8077,
"eval_samples_per_second": 2.388,
"eval_steps_per_second": 0.298,
"step": 240
},
{
"epoch": 1.2626262626262625,
"grad_norm": 0.17478157579898834,
"learning_rate": 0.00015,
"loss": 0.1559,
"step": 250
},
{
"epoch": 1.3131313131313131,
"grad_norm": 0.16669002175331116,
"learning_rate": 0.00014,
"loss": 0.205,
"step": 260
},
{
"epoch": 1.3131313131313131,
"eval_loss": 0.16558928787708282,
"eval_runtime": 294.9081,
"eval_samples_per_second": 2.387,
"eval_steps_per_second": 0.298,
"step": 260
},
{
"epoch": 1.3636363636363638,
"grad_norm": 0.14852865040302277,
"learning_rate": 0.00013,
"loss": 0.1826,
"step": 270
},
{
"epoch": 1.4141414141414141,
"grad_norm": 0.14237315952777863,
"learning_rate": 0.00011999999999999999,
"loss": 0.1329,
"step": 280
},
{
"epoch": 1.4141414141414141,
"eval_loss": 0.15846213698387146,
"eval_runtime": 295.0174,
"eval_samples_per_second": 2.386,
"eval_steps_per_second": 0.298,
"step": 280
},
{
"epoch": 1.4646464646464645,
"grad_norm": 0.1401522010564804,
"learning_rate": 0.00010999999999999998,
"loss": 0.1205,
"step": 290
},
{
"epoch": 1.5151515151515151,
"grad_norm": 0.18983517587184906,
"learning_rate": 9.999999999999999e-05,
"loss": 0.1607,
"step": 300
},
{
"epoch": 1.5151515151515151,
"eval_loss": 0.16163967549800873,
"eval_runtime": 294.807,
"eval_samples_per_second": 2.388,
"eval_steps_per_second": 0.299,
"step": 300
},
{
"epoch": 1.5656565656565657,
"grad_norm": 0.1500634402036667,
"learning_rate": 8.999999999999999e-05,
"loss": 0.2121,
"step": 310
},
{
"epoch": 1.6161616161616161,
"grad_norm": 0.15094490349292755,
"learning_rate": 7.999999999999999e-05,
"loss": 0.1713,
"step": 320
},
{
"epoch": 1.6161616161616161,
"eval_loss": 0.1540195345878601,
"eval_runtime": 295.157,
"eval_samples_per_second": 2.385,
"eval_steps_per_second": 0.298,
"step": 320
},
{
"epoch": 1.6666666666666665,
"grad_norm": 0.15443100035190582,
"learning_rate": 7e-05,
"loss": 0.129,
"step": 330
},
{
"epoch": 1.7171717171717171,
"grad_norm": 0.1568954586982727,
"learning_rate": 5.9999999999999995e-05,
"loss": 0.1196,
"step": 340
},
{
"epoch": 1.7171717171717171,
"eval_loss": 0.15283828973770142,
"eval_runtime": 295.3671,
"eval_samples_per_second": 2.383,
"eval_steps_per_second": 0.298,
"step": 340
},
{
"epoch": 1.7676767676767677,
"grad_norm": 0.19448110461235046,
"learning_rate": 4.9999999999999996e-05,
"loss": 0.1603,
"step": 350
},
{
"epoch": 1.8181818181818183,
"grad_norm": 0.12574005126953125,
"learning_rate": 3.9999999999999996e-05,
"loss": 0.1722,
"step": 360
},
{
"epoch": 1.8181818181818183,
"eval_loss": 0.15110255777835846,
"eval_runtime": 295.1101,
"eval_samples_per_second": 2.386,
"eval_steps_per_second": 0.298,
"step": 360
},
{
"epoch": 1.8686868686868687,
"grad_norm": 0.11745467782020569,
"learning_rate": 2.9999999999999997e-05,
"loss": 0.1669,
"step": 370
},
{
"epoch": 1.9191919191919191,
"grad_norm": 0.1326703280210495,
"learning_rate": 1.9999999999999998e-05,
"loss": 0.1243,
"step": 380
},
{
"epoch": 1.9191919191919191,
"eval_loss": 0.1487378031015396,
"eval_runtime": 295.0041,
"eval_samples_per_second": 2.386,
"eval_steps_per_second": 0.298,
"step": 380
},
{
"epoch": 1.9696969696969697,
"grad_norm": 0.1454104483127594,
"learning_rate": 9.999999999999999e-06,
"loss": 0.1148,
"step": 390
},
{
"epoch": 2.0202020202020203,
"grad_norm": 0.1772913634777069,
"learning_rate": 0.0,
"loss": 0.1633,
"step": 400
},
{
"epoch": 2.0202020202020203,
"eval_loss": 0.14871937036514282,
"eval_runtime": 295.1345,
"eval_samples_per_second": 2.385,
"eval_steps_per_second": 0.298,
"step": 400
}
],
"logging_steps": 10,
"max_steps": 400,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 20,
"total_flos": 2.2256168195948544e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}